Nathan Powell

According to our database, Nathan Powell authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

MRAC With Adaptive Uncertainty Bounds via Operator-Valued Reproducing Kernels.

Haoran Wang, Brian Scurlock, Nathan Powell, Andrea L'Afflitto, Andrew J. Kurdila

IEEE Control. Syst. Lett., 2023

The Power Function for Adaptive Control in Native Space Embedding.

Haoran Wang, Nathan Powell, Andrea L'Afflitto, Andrew J. Kurdila, John A. Burns

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Convergence Rates for Approximations of Deterministic Koopman Operators via Inverse Problems.

Nathan Powell, Ali Bouland, John A. Burns, Andrew Kurdila

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Koopman Methods for Estimation of Animal Motions over Unknown, Regularly Embedded Submanifolds.

Nathan Powell, Bowei Liu, Andrew J. Kurdila

CoRR, 2022

Approximation of Koopman Operators: Irregular Domains and Positive Orbits.

Nathan Powell, Roger Liu, Jia Guo, Sai Tej Paruchuri, John A. Burns, Boone Estes, Andrew J. Kurdila

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Koopman Methods for Estimation of Motion over Unknown, Regularly Embedded Submanifolds.

Nathan Powell, Bowei Liu, Andrew J. Kurdila

Proceedings of the American Control Conference, 2022

2020

Learning Theory for Estimation of Animal Motion Submanifolds.

Nathan Powell, Andrew J. Kurdila

Proceedings of the 59th IEEE Conference on Decision and Control, 2020